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» On Event Based State Estimation
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DT
2006
98views more  DT 2006»
15 years 4 months ago
Handling variations and uncertainties
The widely used engineering decisions concerning the performance of technological equipment for process industries are usually deterministic. Since the early 1990s probabilistic m...
Tim Cheng
JAIR
2008
93views more  JAIR 2008»
15 years 4 months ago
A Rigorously Bayesian Beam Model and an Adaptive Full Scan Model for Range Finders in Dynamic Environments
This paper proposes and experimentally validates a Bayesian network model of a range finder adapted to dynamic environments. All modeling assumptions are rigorously explained, and...
Tinne De Laet, Joris De Schutter, Herman Bruyninck...
JSAC
2007
117views more  JSAC 2007»
15 years 4 months ago
Optimization of Training and Scheduling in the Non-Coherent SIMO Multiple Access Channel
— Channel state information (CSI) is important for achieving large rates in MIMO channels. However, in timevarying MIMO channels, there is a tradeoff between the time/energy spen...
Sugumar Murugesan, Elif Uysal-Biyikoglu, Philip Sc...
TIFS
2010
184views more  TIFS 2010»
15 years 2 months ago
Information-theoretically secret key generation for fading wireless channels
—The multipath-rich wireless environment associated with typical wireless usage scenarios is characterized by a fading channel response that is time-varying, location-sensitive, ...
Chunxuan Ye, Suhas Mathur, Alex Reznik, Yogendra S...
VLDB
2007
ACM
122views Database» more  VLDB 2007»
16 years 4 months ago
MIST: Distributed Indexing and Querying in Sensor Networks using Statistical Models
The modeling of high level semantic events from low level sensor signals is important in order to understand distributed phenomena. For such content-modeling purposes, transformat...
Arnab Bhattacharya, Anand Meka, Ambuj K. Singh